Deep Learning Roadmap amzn.to/3V992ww 1. Maths & Statistics → Build a strong mathematical foundation (algebra, probability, statistics). 2. Python → Learn Python programming (it’s the most widely used language in AI/ML). 3. Data Wrangling → Learn how to clean, organize, and preprocess raw data. 4. Machine Learning Concepts → Understand basic algorithms and theories of Machine Learning. 5. Deep Learning Algorithms → Learn neural networks, CNN, RNN, and similar algorithms. 6. Deep Learning Frameworks → Learn tools like TensorFlow and PyTorch. 7. CV & NLP Using Deep Learning → Work on Computer Vision (image processing) and NLP (language processing) projects. 8. SQL & NoSQL → Learn SQL/NoSQL to work with data from databases. 9. Deploying Models → Learn how to run your trained models in web or app environments. 10. Projects & Resume → Build your own projects and add them to your resume. 11. SUCCESS!!! → Completing these steps will give you the skills needed to start a career in Deep Learning.
@Python_Dv How will Learning Roadmap look but in order to become a loser? I want to be comprehensive in my knowledge: I want to try being a fool, too - who knows maybe I'm too rational?)
@Python_Dv Do you get to learn all these concepts in the book in url?
@Python_Dv @grok your thoughts? Any other option if not python 🐍?
